Jaydip Sen

5.4k total citations · 1 hit paper
83 papers, 2.0k citations indexed

About

Jaydip Sen is a scholar working on Computer Networks and Communications, Management Science and Operations Research and Electrical and Electronic Engineering. According to data from OpenAlex, Jaydip Sen has authored 83 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Networks and Communications, 30 papers in Management Science and Operations Research and 19 papers in Electrical and Electronic Engineering. Recurrent topics in Jaydip Sen's work include Stock Market Forecasting Methods (28 papers), Mobile Ad Hoc Networks (15 papers) and Forecasting Techniques and Applications (15 papers). Jaydip Sen is often cited by papers focused on Stock Market Forecasting Methods (28 papers), Mobile Ad Hoc Networks (15 papers) and Forecasting Techniques and Applications (15 papers). Jaydip Sen collaborates with scholars based in India, United States and Estonia. Jaydip Sen's co-authors include Debasis Bandyopadhyay, Sidra Mehtab, Arijit Ukil, Antonietta Stango, Neeli R. Prasad, Sachin D. Babar, Ramjee Prasad, Tamal Datta Chaudhuri, Sanjib Biswas and Indranil Sengupta and has published in prestigious journals such as Wireless Personal Communications, International Journal of Computer Network and Information Security and International Journal of Advancements in Computing Technology.

In The Last Decade

Jaydip Sen

72 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Internet of Things: Applications and Challenges in Technology and Standardization

2011 954 citations Debasis Bandyopadhyay, Jaydip Sen Wireless Personal Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jaydip Sen India	15	1.1k	471	443	316	234	83	2.0k
Ugo Fiore Italy	27	1.1k 1.0×	511 1.1×	690 1.6×	1.0k 3.2×	246 1.1×	97	2.7k
Wu Yang China	28	1.1k 1.0×	973 2.1×	640 1.4×	635 2.0×	107 0.5×	155	2.6k
Fan Liang United States	16	1.2k 1.1×	464 1.0×	766 1.7×	589 1.9×	84 0.4×	46	2.2k
Stathes Hadjiefthymiades Greece	22	993 0.9×	412 0.9×	604 1.4×	526 1.7×	180 0.8×	179	2.2k
Fariza Hanum Nasaruddin Malaysia	13	796 0.7×	177 0.4×	462 1.0×	601 1.9×	117 0.5×	32	1.7k
Kendall E. Nygard United States	22	903 0.8×	308 0.7×	375 0.8×	398 1.3×	69 0.3×	109	1.7k
Haoxiang Wang United States	23	778 0.7×	536 1.1×	417 0.9×	577 1.8×	68 0.3×	67	2.0k
Junlong Zhou China	31	1.7k 1.5×	634 1.3×	1.2k 2.8×	510 1.6×	123 0.5×	141	3.0k
Razi Iqbal Pakistan	22	789 0.7×	581 1.2×	864 2.0×	408 1.3×	76 0.3×	69	2.0k
M. Poongodi Qatar	28	594 0.5×	355 0.8×	668 1.5×	503 1.6×	122 0.5×	49	2.1k

Countries citing papers authored by Jaydip Sen

Since Specialization

Citations

This map shows the geographic impact of Jaydip Sen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jaydip Sen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaydip Sen more than expected).

Fields of papers citing papers by Jaydip Sen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaydip Sen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jaydip Sen. The network helps show where Jaydip Sen may publish in the future.

Co-authorship network of co-authors of Jaydip Sen

This figure shows the co-authorship network connecting the top 25 collaborators of Jaydip Sen. A scholar is included among the top collaborators of Jaydip Sen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jaydip Sen. Jaydip Sen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Sen, Jaydip, et al.. (2024). Robust Image Classification: Defensive Strategies against FGSM and PGD Adversarial Attacks. 1–7. 2 indexed citations

2.

Chatterjee, Ananda, et al.. (2022). Stock Volatility Prediction using Time Series and Deep Learning Approach. 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon). 1–6. 2 indexed citations

3.

Sen, Jaydip, Sidra Mehtab, Abhishek Dutta, et al.. (2021). Machine Learning - Algorithms, Models and Applications. arXiv (Cornell University). 44 indexed citations

4.

Sen, Jaydip, et al.. (2021). Volatility Modeling of Stocks from Selected Sectors of the Indian Economy Using GARCH. arXiv (Cornell University). 10 indexed citations

5.

Sen, Jaydip, et al.. (2021). Stock Portfolio Optimization Using a Deep Learning LSTM Model. arXiv (Cornell University). 263–271. 14 indexed citations

6.

Sen, Jaydip, Sidra Mehtab, K. Munivara Prasad, et al.. (2019). Computer and Network Security. IntechOpen eBooks. 8 indexed citations

7.

Sen, Jaydip & Tamal Datta Chaudhuri. (2018). Understanding the sectors of Indian economy for portfolio choice. 4(2). 178–178. 4 indexed citations

8.

Sen, Jaydip. (2017). A Study of the Indian Metal Sector Using Time Series Decomposition-Based Approach. SSRN Electronic Journal. 2 indexed citations

9.

Sen, Jaydip & Tamal Datta Chaudhuri. (2017). A Predictive Analysis of the Indian FMCG Sector using Time Series Decomposition - Based Approach. KSP Journals - Journal of Economics Bibliography. 4(2). 206–226. 7 indexed citations

10.

Sen, Jaydip & Tamal Datta Chaudhuri. (2017). A Predictive Analysis of the Indian FMCG Sector Using Time Series Decomposition-Based Approach. SSRN Electronic Journal. 6 indexed citations

11.

Sen, Jaydip. (2016). Decomposition of Time Series Data to Check Consistency between Fund Style and Actual Fund Composition of Mutual Funds. RePEc: Research Papers in Economics. 1 indexed citations

12.

Bandyopadhyay, Debasis & Jaydip Sen. (2011). Internet of Things: Applications and Challenges in Technology and Standardization. Wireless Personal Communications. 58(1). 49–69. 954 indexed citations breakdown →

13.

Babar, Sachin D., Antonietta Stango, Neeli R. Prasad, Jaydip Sen, & Ramjee Prasad. (2011). Proposed embedded security framework for Internet of Things (IoT). VBN Forskningsportal (Aalborg Universitet). 1–5. 175 indexed citations

14.

Sen, Jaydip. (2010). An Efficient and User Privacy-Preserving Routing Protocol for Wireless Mesh Networks. arXiv (Cornell University). 11(4). 345–358. 4 indexed citations

15.

Sen, Jaydip. (2010). Internet of Things - A Standardization Perspective. 4 indexed citations

16.

Sen, Jaydip. (2010). A Throughput Optimizing Routing Protocol for Wireless Mesh Networks. 3626. 665–670. 4 indexed citations

17.

Sen, Jaydip. (2009). A Survey on Wireless Sensor Network Security. International Journal of Computer Network and Information Security. 1(2). 177 indexed citations

18.

Sen, Jaydip, et al.. (2009). SOVA based decoding of double-binary turbo convolutional code. 757–761. 1 indexed citations

19.

Sen, Jaydip, et al.. (2008). A distributed intrusion detection system for wireless ad hoc networks. 1796. 1–6. 6 indexed citations

20.

Sen, Jaydip, et al.. (2007). A distributed protocol for detection of packet dropping attack in mobile ad hoc networks. 1796. 75–80. 22 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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